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Advanced Node-Red

Posted By: ELK1nG
Advanced Node-Red

Advanced Node-Red
Last updated 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.32 GB | Duration: 4h 19m

Learn to build non-trivial applications by integrating Node-RED with the top 4 cloud platforms

What you'll learn

How to build Node-RED nodes?

How to integrate Node-RED with top 4 cloud platforms - AWS, Azure, Google Cloud and IBM Cloud

Learn to build non-trivial real-life projects using Node-RED

Requirements

Need a functional knowledge of JS, HTML, Nodejs

Familiarity in working with Raspberry Pi and basic electronic components like LED, relay, etc.

Basics of Node-RED

Functional knowledge of working with the top 4 cloud platforms - AWS, Azure, Google Cloud and IBM Cloud

Description

July 2022 UpdateUpdated Bill of MaterialsOctober 2020 UpdateRecreated Bill Of Materials PDF to make it more organized and added an Update VideoSeptember 2020  UpdateIn-depth Lecture on changes and updates to Node-RED (Version 1.1+)Lecture on how to add/update nodes to the Flow Library in Node-RED (Version 1.1+)Hello learners! Welcome to Makerdemy’s "Advanced Node-RED" course. If you are looking for that special course that teaches you how to prototype and develop applications by interfacing multiple cloud platforms, on the go, you have come to the right place. This is an advanced level course, so, prior knowledge of basic programming principles and electronic concepts is a must before taking this course.Through an innovative pedagogy of mixing projects and concepts, this course will help you learn the WHY, HOW and WHAT. To this end, this course is beyond a cookbook. You will always know WHY you are doing something. For the more curious learners, we have ample resources to dive in and continue your learning journey.By the end of the course, you will be confident enough to use Node-RED to prototype real-world applications using different cloud platforms. You will also learn to build Node-RED nodes. As a part of this course, you will be exposed to building flows absolutely based on logic which is how Node-RED works!If you are a technology enthusiast or an engineer with a good understanding of electronics and programming, JS, HTML, and Node.js, and also have experience with working on AWS, GCP, and Azure cloud platforms, this is the course for you. Also, we highly recommend you complete MAKERDEMY’s Introduction to Node-RED Course before enrolling in this.So, what are you waiting for?! Come, join me in this course. I am looking forward to being your instructor and guide you in building cool applications with Node-RED.

Overview

Section 1: Introduction to the course

Lecture 1 Introduction

Lecture 2 Important Update

Lecture 3 Basics of Node-RED

Lecture 4 Node-RED Update: What has changed?

Lecture 5 Running Node-RED on Docker

Lecture 6 Docker commands

Section 2: How to create nodes?

Lecture 7 Testing the function

Lecture 8 Creating a JS file

Lecture 9 Creating an HTML file

Lecture 10 How to add or update nodes to the Flow library after V1.1 update?

Lecture 11 Packaging and publishing the node

Lecture 12 Creating a name formatter node

Section 3: Rock-Paper-Scissors

Lecture 13 Introduction to the project

Lecture 14 IBM Watson Visual Recognition

Lecture 15 Training the visual model

Lecture 16 Sending the image to Watson and analyzing the result

Lecture 17 Setting up the dashboard

Lecture 18 Storing scores and adding other functionalities

Lecture 19 Final result

Section 4: Office automation

Lecture 20 Introduction to the project

Lecture 21 Alexa

Lecture 22 AWS Lambda

Lecture 23 Node-RED

Lecture 24 Raspberry Pi

Lecture 25 Adding additional functionality - Leave application bot (Part 1)

Lecture 26 Adding additional functionality - Leave application bot (Part 2)

Lecture 27 Adding additional functionality - Leave application bot (Part 3)

Lecture 28 Adding additional functionality - Leave application bot (Part 4)

Lecture 29 Adding additional functionality - Sheet notification

Section 5: Security system

Lecture 30 Introduction to the project

Lecture 31 Azure face API

Lecture 32 Testing the Azure face API

Lecture 33 Testing face identify API

Lecture 34 Building the project

Section 6: Handwritten document detection + conversion to PDF

Lecture 35 Introduction to the project

Lecture 36 Google Cloud Vision API

Lecture 37 Conversion to PDF

Lecture 38 Adding additional functionality

Any developer or an engineer who wants to build complex applications integrating multiple cloud platforms on the go,An IoT enthusiast who wants to integrate multiple IoT platforms to build an IoT application,Anyone who is interested in exploring Node-RED